Salary Guide

Data Engineer
Salary Guide USA 2025

Current market compensation data for Data Engineers. Benchmark your offer, understand contract rates, and set competitive hiring budgets.

Salary Ranges at a Glance

Permanent Employment
$115K–$195K
Junior (0–3 yrs)$75K–$105K
Mid-level (3–6 yrs)$105K–$145K
Senior (6–10 yrs)$145K–$180K
Staff / Principal$180K–$210K
Contract Rate (C2C)
$80–$140/hr

W2 contract rates are typically 15–20% lower after payroll taxes and benefits overhead are factored in.

Location Premiums

Geography has a meaningful impact on compensation for Data Engineers. Remote roles are increasingly benchmarked against the employer's location rather than the candidate's.

San Francisco / Bay Area+30–45%
Seattle+20–30%
New York City+20–30%
Chicago+5–15%
Austin+5–10%
Remote (national)+0–15%

Key Tools That Drive Premium Pay

Engineers with deep experience in the following tools command the upper end of these ranges or above.

dbtSnowflakeDatabricksApache SparkAirflowKafkaPythonRedshiftBigQueryDelta Lake

Data Engineering compensation is highly tool-specific. The dbt + Snowflake/Databricks combination is now the core modern data stack expectation and commands a 15–25% premium over legacy data warehouse engineers. Streaming engineers (Apache Kafka, Flink) are rarer than batch engineers and command the upper end of ranges. MLOps overlap — engineers who can build both data pipelines and ML feature pipelines — represents the highest premium profile in data engineering today.

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